DocumentCode :
105643
Title :
A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems
Author :
Ferreira, R.S. ; Borges, Carmen L. T. ; Pereira, M.V.F.
Author_Institution :
COPPE, UFRJ, Rio de Janeiro, Brazil
Volume :
29
Issue :
5
fYear :
2014
fDate :
Sept. 2014
Firstpage :
2447
Lastpage :
2459
Abstract :
In this paper, we propose a flexible mixed-integer linear programming formulation of the AC OPF problem for distribution systems, using convexification and linearization techniques. The proposed formulation allows the representation of discrete decisions via integer decision variables, captures the nonlinear behavior of the electrical network via approximations of controllable accuracy, and can be solved to global optimality with commercial optimization solvers. The formulation is based on conventional variables that describe network behavior, which ensures its flexibility and the possibility of application to various distribution system problems, as we indicate with case studies.
Keywords :
approximation theory; convex programming; decision theory; integer programming; linear programming; linearisation techniques; load flow; power distribution; AC OPF problem; AC optimal power flow; commercial optimization solvers; controllable accuracy approximations; convexification techniques; discrete decision representation; distribution system problems; electrical network; flexible mixed-integer linear programming approach; global optimality; integer decision variables; linearization techniques; nonlinear behavior; Linear approximation; Load modeling; Mathematical model; Mixed integer linear programming; Optimization; Piecewise linear approximation; AC optimal power flow; convexification; distribution systems; mixed-integer linear programming;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2304539
Filename :
6742629
Link To Document :
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